Computer science and IT Field of study: Materials Science and Engineering
Programme code: 08-S1MAA16.2018

Module name: Computer science and IT
Module code: IM1A_ITI
Programme code: 08-S1MAA16.2018
Semester: winter semester 2018/2019
Language of instruction: English
Form of verification: course work
ECTS credits: 4
Description:
The Computer science and IT module shall enable that students are knowledgeable about the computer architecture and the hardware layer necessary for applications in materials engineering and about operating systems, necessary to install, operate and maintain IT tools used for technical designing and for analysing the engineering materials properties. The module shall extend the knowledge and skills of measurement data analysis and visualisation (MS Excel). Moreover, the module will prepare students for an independent algorithmisation of the data processing. The module will also familiarise students with the IT environments used for mathematical computations, both numerical and symbolic ones (MathCad). After this module completion students will have a consolidated basic knowledge and skills in the field of IT assistance to engineering processes.
Prerequisites:
The knowledge of algebra, basic elements of calculus and basics of computer use is required.
Key reading:
1. T. Francuz, M. Szeliga: Zagadnienia maturalne z informatyki. Tom 1 i 2, HELION 2005. 2. W.Sikorski: Wykłady z podstaw informatyki, MIKOM 2005 3. S. Harris, J. Ross: Algorytmy. Od podstaw, HELION 2006 4. W. Regel: MATHCAD Przykłady zastosowań, MIKOM 2004.
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
Students have structured knowledge about the computer architecture and the hardware layer necessary for applications in materials engineering, have elementary knowledge about operating systems. [IM1A_ITI_1]
 IM1A_W18 [5/5]
Students know at a basic level at least one software package used to collect the data and its preliminary statistical analysis as well as know at a basic level at least one dedicated software package used for a detailed mathematical analysis and for a graphical presentation of the data. [IM1A_ITI_2]
 IM1A_W19 [3/5]
Student can collect the data and perform its basic statistical analysis. Students can perform a mathematical analysis of experimental data and design a graphical view of this analysis. [IM1A_ITI_3]
 IM1A_U01 [2/5] IM1A_U07 [3/5]
Students understand the need for and know possibilities of IT application to assist the engineering work. Students are aware of the importance and understand the need for continuous learning. Students understand the importance of responsibility for tasks implemented both individually and in a team. [IM1A_ITI_4]
 IM1A_K02 [2/5] IM1A_K03 [3/5] IM1A_K05 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Test [IM1A_ITI_w_2]
Checking the acquired skills of algorithmisation methods for elementary algebraic problems as well as mastering practical skills of resolving selected issues in the MS Excel spreadsheet environment and using the MathCad software.
 IM1A_ITI_1 IM1A_ITI_2 IM1A_ITI_3 IM1A_ITI_4
Reports [IM1A_ITI_w_3]
Assessment of performance of practical problems resolved during classes and described in the laboratory class manuals.
 IM1A_ITI_1 IM1A_ITI_2 IM1A_ITI_3 IM1A_ITI_4
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [IM1A_ITI_fs_1]
The lecture shall enable understanding the issues of IT assistance to the research process in the field of materials engineering and materials science. The lecture is delivered with the use of multimedia, demonstrations and the ‘MathCad’ and ‘Origin’ software.
 30
The work with the recommended literature comprising independent acquisition of knowledge related to basic issues.
 30 Test [IM1A_ITI_w_2]
laboratory classes [IM1A_ITI_fs_2]
Exercises are performed by students individually with the use of computer laboratories equipment.
 30
Individual preparation of exercise results.
 30 Test [IM1A_ITI_w_2] Reports [IM1A_ITI_w_3]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)